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相关概念视频

The Pauli Exclusion Principle03:06

The Pauli Exclusion Principle

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The arrangement of electrons in the orbitals of an atom is called its electron configuration. We describe an electron configuration with a symbol that contains three pieces of information:
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First Law: Particles in Two-dimensional Equilibrium01:18

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Recall that a particle in equilibrium is one for which the external forces are balanced. Static equilibrium involves objects at rest, and dynamic equilibrium involves objects in motion without acceleration; but it is important to remember that these conditions are relative. For instance, an object may be at rest when viewed from one frame of reference, but that same object would appear to be in motion when viewed by someone moving at a constant velocity.
Newton's first law tells us about...
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The de Broglie Wavelength02:32

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In the macroscopic world, objects that are large enough to be seen by the naked eye follow the rules of classical physics. A billiard ball moving on a table will behave like a particle; it will continue traveling in a straight line unless it collides with another ball, or it is acted on by some other force, such as friction. The ball has a well-defined position and velocity or well-defined momentum, p = mv, which is defined by mass m and velocity v at any given moment. This is the typical...
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The Quantum-Mechanical Model of an Atom02:45

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Shortly after de Broglie published his ideas that the electron in a hydrogen atom could be better thought of as being a circular standing wave instead of a particle moving in quantized circular orbits, Erwin Schrödinger extended de Broglie’s work by deriving what is now known as the Schrödinger equation. When Schrödinger applied his equation to hydrogen-like atoms, he was able to reproduce Bohr’s expression for the energy and, thus, the Rydberg formula governing hydrogen spectra.
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相关实验视频

Updated: Oct 15, 2025

Quantum State Engineering of Light with Continuous-wave Optical Parametric Oscillators
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Quantum State Engineering of Light with Continuous-wave Optical Parametric Oscillators

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量子机器学习用于二维材料的固态过

Manas Sajjan1, Shree Hari Sureshbabu2, Sabre Kais3

  • 1Department of Chemistry, Purdue University, West Lafayette, Indiana 47907, United States.

Journal of the American Chemical Society
|October 27, 2021
PubMed
概括
此摘要是机器生成的。

这项研究引入了一种新的量子算法,用于过特定的能量固有状态,超越基本状态计算. 该方法利用浅层神经网络和量子电路,为量子模拟提供二次性资源效率.

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科学领域:

  • 量子计算
  • 机器学习
  • 材料科学

背景情况:

  • 通过使用量子计算机,量子机器学习算法比经典方法具有优势.
  • 目前的算法主要集中在计算系统的基本状态.
  • 探索激发状态对于理解物质性质至关重要.

研究的目的:

  • 开发一种能够过任何能量固有状态的量子算法.
  • 在新型材料上证明算法的有效性.
  • 为探索材料带结构提供一个新的工具.

主要方法:

  • 一个浅层神经网络编码了所需的量子状态.
  • 量子电路采样了吉布斯-博尔兹曼分布的幅度信息.
  • 古典计算通过非线性激活提取相位信息.
  • 算法的资源要求被证明是二次的.

主要成果:

  • 量子算法根据对称性或用户选择成功过特定的能量固有状态.
  • 在单层过渡金属二甲基化物中证明有效性,这是量子模拟的新领域.
  • 量子模拟器和IBM-Q设备的结果与传统计算一致.

结论:

  • 开发的量子算法提供了一种超越基本状态的状态过的新方法.
  • 该协议可用于探索先进材料的带结构.
  • 该方法是传统电子结构和机器学习技术的可行替代方案.